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CVE-2025-12100: CWE-276 Incorrect Default Permissions in MongoDB BI Connector ODBC driver

0
High
VulnerabilityCVE-2025-12100cvecve-2025-12100cwe-276
Published: Thu Oct 23 2025 (10/23/2025, 21:02:18 UTC)
Source: CVE Database V5
Vendor/Project: MongoDB
Product: BI Connector ODBC driver

Description

Incorrect Default Permissions vulnerability in MongoDB BI Connector ODBC driver allows Privilege Escalation.This issue affects BI Connector ODBC driver: from 1.0.0 through 1.4.6.

AI-Powered Analysis

AILast updated: 10/31/2025, 06:00:27 UTC

Technical Analysis

CVE-2025-12100 identifies a vulnerability in the MongoDB BI Connector ODBC driver versions 1.0.0 through 1.4.6, caused by incorrect default permissions (CWE-276). This misconfiguration allows users with limited privileges to escalate their rights on the host system. The BI Connector ODBC driver facilitates integration between MongoDB databases and business intelligence tools by enabling SQL-based queries. The vulnerability stems from files or directories installed with overly permissive access controls, enabling unauthorized users to modify or replace critical components or configuration files. Exploitation requires local access with low privileges and partial authentication but does not require user interaction, making it feasible for attackers who have gained initial foothold or insider access. The CVSS 4.0 vector (AV:L/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H) reflects a high impact on confidentiality, integrity, and availability, with a relatively low attack complexity. Although no exploits are currently known in the wild, the vulnerability poses a significant risk to environments where the BI Connector is deployed, particularly in enterprise analytics and reporting infrastructures. The lack of available patches at the time of disclosure necessitates immediate compensating controls to mitigate risk.

Potential Impact

For European organizations, this vulnerability could lead to unauthorized privilege escalation on systems running the MongoDB BI Connector ODBC driver, potentially resulting in full system compromise. This can expose sensitive business intelligence data, disrupt analytics operations, and allow attackers to manipulate or exfiltrate critical information. Sectors such as finance, telecommunications, healthcare, and critical infrastructure, which rely heavily on data analytics and MongoDB integrations, face heightened risks. The breach of confidentiality could lead to regulatory penalties under GDPR due to data exposure. Integrity violations may corrupt business reports and decision-making processes, while availability impacts could disrupt operational continuity. The local access requirement limits remote exploitation but does not eliminate risk, especially in environments with multiple users or insufficient endpoint security. The absence of known exploits currently provides a window for proactive defense, but the high CVSS score underscores the urgency of mitigation.

Mitigation Recommendations

1. Immediately audit and correct file and directory permissions related to the MongoDB BI Connector ODBC driver to ensure least privilege principles are enforced. 2. Restrict local access to systems running the affected driver to trusted administrators and users only, employing strict access controls and endpoint security measures. 3. Monitor system logs and user activities for signs of privilege escalation attempts or anomalous behavior around the BI Connector components. 4. Implement application whitelisting and integrity verification tools to detect unauthorized modifications to driver files. 5. Segregate analytics environments from general user workstations to reduce exposure. 6. Prepare to deploy official patches or updates from MongoDB as soon as they become available; subscribe to vendor advisories for timely notifications. 7. Conduct user awareness training emphasizing the risks of local privilege escalation and the importance of reporting suspicious activity. 8. Employ multi-factor authentication and robust credential management to limit the impact of compromised accounts. 9. Consider deploying endpoint detection and response (EDR) solutions capable of detecting privilege escalation techniques. 10. Review and update incident response plans to include scenarios involving local privilege escalation vulnerabilities.

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Technical Details

Data Version
5.1
Assigner Short Name
mongodb
Date Reserved
2025-10-23T00:22:17.477Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 68fa99bbff7543f249e1540f

Added to database: 10/23/2025, 9:10:19 PM

Last enriched: 10/31/2025, 6:00:27 AM

Last updated: 12/8/2025, 6:46:35 AM

Views: 284

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